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Ramaswami's duality and probabilistic algorithms for determining the rate matrix for a structured GI/M/1 Markov chain

Published online by Cambridge University Press:  17 February 2009

Emma Hunt
Affiliation:
School of Mathematical Sciences, The University of Adelaide, Adelaide SA 5005, Australia; e-mail: [email protected].
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Abstract

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We show that Algorithm H* for the determination of the rate matrix of a block-GI/M/1 Markov chain is related by duality to Algorithm H for the determination of the fundamental matrix of a block-M/G/1 Markov chain. Duality is used to generate some efficient algorithms for finding the rate matrix in a quasi-birth-and-death process.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 2005

References

[1]Asmussen, S. and Ramaswami, V., “Probabilistic interpretations of some duality results for the matrix paradigms in queueing theory”, Comm. Statist. Stochastic Models 6 (1990) 715733.Google Scholar
[2]Bini, D. and Meini, B., “On cyclic reduction applied to a class of Toeplitz-like matrices arising in queueing problems”, in Proc. 2nd Intern. Workshop on Numerical Solution of Markov Chains, (Raleigh, North Carolina, 1995) 2138.Google Scholar
[3]Bini, D. and Meini, B., “Improved cyclic reduction for solving queueing problems”, Numer. Algo. rithms 15 (1997) 5774.Google Scholar
[4]Bini, D. A., Latouche, G. and Meini, B., “Quadratically convergent algorithms for solving matrix polynomial equations”, Technical Report 424, Université Libre Bruxelles, 2000.Google Scholar
[5]Bright, L. W., “Matrix-analytic methods in applied probability”, Ph. D. Thesis, University of Adelaide, 1996.Google Scholar
[6]Hajek, B., “Birth-and-death processes on the integers with phases and general boundaries”, J. Appi. Probab. 19 (1982) 488499.Google Scholar
[7]Hunt, E., “A probabilistic algorithm for determining the fundamental matrix of a block M/G/l Markov chain”, Math. Comput. Modelling 38 (2003) 12031209.Google Scholar
[8]Hunt, E., “A probabilistic algorithm for finding the rate matrix of a block- GI/M/1 Markov chain”, ANZIAM J. 45 (2004) 457475.CrossRefGoogle Scholar
[9]Latouche, G.. “A note on two matrices occurring in the solution of quasi birth-and-death processes”, Stochastic Models 3 (1987) 251257.Google Scholar
[10]Latouche, G. and Ramaswami, V., “A logarithmic reduction algorithm foQuasi-Birth-Death processes”, J. Appl. Probab. 30 (1993) 650674.CrossRefGoogle Scholar
[11]Meini, B., “Solving QBD problems: the cyclic reduction algorithm versus the invaiant subspace method”, Adv. Perf Anal. 1 (1998) 215225.Google Scholar
[12]Neuts, M. F., Matrix geometric solutions in stochastic models (JohnsHopkins University Press, Baltimore, 1981).Google Scholar
[13]Ramaswami, V., “A duality theorem for the matrix paradigms in queueing theory”, Comm. Statist. Stochastic Models 6 (1990) 151161.CrossRefGoogle Scholar